Our client is developing a personal CRM and community engagement platform that leverages AI to sync contacts, enrich insights, and build communities.
Responsibilities: * Build and optimize our Python FastAPI & LLM Pipelines backend from the ground up, ensuring robust, scalable architecture; * Design and implement Retrieval-Augmented Generation (RAG) systems for intelligent contact insights and personalized community recommendations; * Deploy and manage services on Kubernetes with a focus on scalability, reliability, and performance monitoring; * Work closely with our CTO and Mobile Dev to deliver seamless, integrated user experiences; * Drive key technical decisions around LLM pipeline infrastructure, data architecture, and performance optimization strategies.
Required experience and skills: * 6+ years of Python development experience with strong expertise in backend systems; * Hands-on Cursor IDE experience (or willingness to quickly adapt); * Demonstrated expertise in complex algorithmic problem-solving and data structures; * English — Upper-Intermediate.
Would be a plus: * Experience with FastAPI, RAG systems, or LLM integrations; * Kubernetes and cloud infrastructure experience.
